Spotless version 14 now live

The new improved version 14

We are thrilled to announce the release of the new improved version 14 of Spotless Data's machine learning filters API solution to swiftly clean your data until it is so spotlessly clean so that you now have data quality you can trust.

There are a number of new features in this minor release:

Google sign-in You can now sign-up and subsequently log-in to Spotless Data using your google account, a new addition to the already available signing-in with Facebook, Google or GitHub or simply your email address.

Improvements in My Account area Once you have signed in to our service there is a my account area, and this is now better than ever. It includes Accounts where all your financial transactions are recorded and Activity where a record of all the files you have uploaded onto our API, both of which can be very useful information for your records and so you can keep track of how you have been using our service. There is also a section which includes records of your aws keys, including your aws access key id, your aws access secret keys and your default s3 buckets.

Bug fixes These bug fixes are designed to improve our super, new machine learning filters so that they clean and ensure the data validation of your data more seamlessly and swiftly than ever. They include improvements for viewing and using said machine learning filters for mobile to make using our service on the go so much easier. The fixes include being able to view our embedded videos better, whether on your mobile phone or whatever device you prefer to watch them on. So you can now watch the data cleaning of an EPG file video from the blog of our version 12 release, as well as our latest video on cleaning a genre column below. Data integration has never been easier! If you would like to contact us you can speak to one of our team by pressing on the white square icon with a smile within a blue circle, which you can find in the bottom right-hand corner of any of the web pages on our site.

Our 2nd video focusses on cleaning a genre column which has rogue data problems within an EPG file.

If your data quality is an issue or you know that you have known sources of dirty data but your files are just too big, and the problems too numerous to be able to fix manually please do log in and try now